PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-14 10:19:39.497155+00:00 (UTC)
In US/Central Time, this is 2024-03-14 05:19:39.497155-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/3ab4e59d118d04a491f08f679ad5177d2a405d9dc425518726176adc8c8e6bf6.png
We are just generating a random time serie here.
../../_images/14c86fe44387f797faea5a518c8dcdf44059f7187e1752869dd81e11f7f35245.png
../../_images/5eab6322691a642b78221b65852956f455d44426e81cc0a71eb567783e71dfcb.png